A Study on the Development of Data COMMUCATION MODULE within Construction
0
조회
0
다운로드
1
인용
0
참고문헌
키워드
초록
Purpose: As for the safety related technologies in the field of construction and site, and in order to implement an optimal communication transmission and reception related environment, an environment which can help pre-vent a loss of data ought to be structured. Hence, the purpose of this paper is to identify and remove the noise elements which cause the loss of data via empirical experiments, examine the elements which can help improve communication performance within the range of radio regulations, and develop the communication module ap-propriate for the relevant environment. Method: The validation methodology of this paper is as follows. A comparison validation test of the custom-ized communication environment compared to the existing communication equipment related application envi-ronment, a validation test as to whether a loss of data occurs between the AR devices, a correlation validation test between the occurrence of a loss of data due to a noise increase, a validation and development methodology for identifying the correlation between the transmission distance and the amount of data transmission and reception related variation via the validation test for the impact of data transmission are presented. Results: Since the data transmission and reception volume relatively increases in the customized communica-tion related environment compared to the existing communication equipment related application environment for a certain period of time, it is apparent that the data transmission and reception volume between the AR devices is reduced by causing a network delay due to the overload of network equipment. Hence, it is expected that, in order to address such problems, a communication module appropriate for the environment will be developed, and the noise will be reduced via the validation. Conclusion: As it is necessary to derive the customized values for the communication equipment applicable for the construction site through this study, it is necessary to calculate the quantitative values for the improvement of the data transmission and reception volume during the radio wave amplification, and it has also been derived that it is necessary to derive the quantitative values between a loss of data due to the generation of noise. In the future studies, it is considered that a comparative validation test will be needed in an indoor and outdoor test environment in which an interference from the existing communication environment occurs and an anechoic test-ing environment in which an interference does not occur whatsoever from the existing communication environ-ment.
Abstract
Purpose: As for the safety related technologies in the field of construction and site, and in order to implement an optimal communication transmission and reception related environment, an environment which can help pre-vent a loss of data ought to be structured. Hence, the purpose of this paper is to identify and remove the noise elements which cause the loss of data via empirical experiments, examine the elements which can help improve communication performance within the range of radio regulations, and develop the communication module ap-propriate for the relevant environment. Method: The validation methodology of this paper is as follows. A comparison validation test of the custom-ized communication environment compared to the existing communication equipment related application envi-ronment, a validation test as to whether a loss of data occurs between the AR devices, a correlation validation test between the occurrence of a loss of data due to a noise increase, a validation and development methodology for identifying the correlation between the transmission distance and the amount of data transmission and reception related variation via the validation test for the impact of data transmission are presented. Results: Since the data transmission and reception volume relatively increases in the customized communica-tion related environment compared to the existing communication equipment related application environment for a certain period of time, it is apparent that the data transmission and reception volume between the AR devices is reduced by causing a network delay due to the overload of network equipment. Hence, it is expected that, in order to address such problems, a communication module appropriate for the environment will be developed, and the noise will be reduced via the validation. Conclusion: As it is necessary to derive the customized values for the communication equipment applicable for the construction site through this study, it is necessary to calculate the quantitative values for the improvement of the data transmission and reception volume during the radio wave amplification, and it has also been derived that it is necessary to derive the quantitative values between a loss of data due to the generation of noise. In the future studies, it is considered that a comparative validation test will be needed in an indoor and outdoor test environment in which an interference from the existing communication environment occurs and an anechoic test-ing environment in which an interference does not occur whatsoever from the existing communication environ-ment.
참고문헌 (11)
- Pasha M., "Big Data in the Construction Industry: A Review of Present Status, Opportunities, and Future Trends", Advanced Engineering Informatics, 30(3), pp.500~521 (2016)
- Seo J, "Drone-enabled Bridge Inspection Methodology and Application", Automation in Construction, 94, pp.112~126 (2018)
- Tang S, "A Review of Building Information Modeling(BIM) and the Internet of Things(IoT) Devices Integration: Present Statusand Future Trends", Automation in Construction, 101, pp.127~139 (2019)
- Milgram P, "Augmented Reality: A Class of Displays on Thereality-virtuality Continuum", Telemanipulator and Telepresence Technologies, 2351, pp.282~292 (1995)
- Akpakqu GA, "a Survery on 5G Networks for the Internet of Things Communication Technologies and Challenges", IEEE Access, 6, pp.3629~3634 (2018)
- Lampropoulos G, "Enhancing the Functionality of Augmented Reality Using Deep Learning, Semantic Web and Knowledge Graphs: A Review", Visual Informatics, 4(1), pp.32~42 (2020)
- Mneymneh BE, "Automated Hardhat Detection for Construction Safety Applications", Procedia Engineering, 196, pp.895~902 (2017)
- Hung HM, "A Deep Learning-based Method for Real-time Personal Protective Equipment Detection", Journal of Science and Technique, 199, pp.23~34 (2019)
- Fang Q, "Detecting Non-hardhat-use by a Deep Learning Method from Far-field Surveillance Videos", Automat in Construction, 85, pp.1~9 (2018)
- Natha ND, "Deep Learning for Site Safety: Real-time Detection of Personal Protective Equipment", Automat in Construction, 112, pp.1~20 (2020)
- Akpakwu GA, "A Survey on 5G Networks for the Internet of Things: Communication Technologies and Challenges", IEEE Acces, 6, pp.3619~3647 (2017)